Crowdsourcing Parking Data for Micromobility Vehicles

Details

• Creators:
  MacKenzie, Don ; Ban, Xuegang (Jeff) ; Pathak, Chintan ; Arabkhedri, Borna
• Corporate Creators:
  Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART)
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  • Bicycles
  • Crowdsourcing
  • Data collection
  • Mobile applications
  • Parking violations
  • Regulation
  • Scooters
  • Shared mobility
  • Smartphones
  • Vehicle sharing Micromobility
• DOI:
  https://doi.org/10.5281/zenodo.4008906
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART)
• Abstract:
  A surge in shared micromobility services has been accompanied by an increase in vehicle parking violations and associated public complaints. The parking infractions vary from annoying when parked on private property, to unseemly when parked inside a city park to downright unsafe when interfering with utilities or blocking an Americans with Disabilities Act (ADA) ramp. Most micromobility vehicles are unable to automatically detect a parking infraction. Road users do not have a unified method of reporting the parking violations for micromobility vehicles. Further, the public and private agencies regulating the micromobility services in their region are ill-equipped to handle the incoming reports. This report summarizes the development of a mobile web app that streamlines the reporting of parking violations of dockless scooters and bikes, relaying data to the company or companies responsible and/or local governments while generating a data set that can support a variety of research questions. Mobile user-interface design and motivation is discussed. The report submission process through the reporting app is explained. Further, some field data collection results and exploration are presented.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/56383/dot_56383_DS1.pdf
• File Type:
  [PDF - 999.54 KB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:11b2f2b3a78a75aab48a57048670f6dd16e9dfcae9e3ac3025b51d02228f2a3f27bb37e25f845a1bcab68e4368f90e9f3ab2fa2dcf8062b880f72e2eb28a580d